Security Framework for The Internet of Things Applications
Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang
Security Framework for The Internet of Things Applications
Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang
The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection.
This book:
Presents a security framework model design named Behavioral Network Traffic Identification and Novelty Anomaly Detection for the IoT Infrastructures Highlights recent advancements in machine learning, deep learning, and networking standards to boost Internet of Things security Builds a near real-time solution for identifying Internet of Things devices connecting to a network using their network traffic traces and providing them with sufficient access privileges Develops a robust framework for detecting IoT anomalous network traffic Covers an anti-malware solution for detecting malware targeting embedded devices
It will serve as an ideal text for senior undergraduate and graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
This item is not currently in-stock. It can be ordered online and is expected to ship in approx 2 weeks
Our stock data is updated periodically, and availability may change throughout the day for in-demand items. Please call the relevant shop for the most current stock information. Prices are subject to change without notice.
Sign in or become a Readings Member to add this title to a wishlist.